The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …

With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, there is a high level of …

This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …

Combinatorial optimization problems are often considered NP-hard problems in the field of
decision science and the industrial revolution. As a successful transformation to tackle …

Rescheduling is a necessary procedure for a flexible job shop when newly arrived priority
jobs must be inserted into an existing schedule. Instability measures the amount of change …

The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …

In recent years, confronted with serious global warming and rapid exhaustion of non-
renewable resources, green manufacturing has become an increasingly important theme in …

The traditional flexible job shop scheduling problem (FJSP) considers machine flexibility but
not worker flexibility. Given the influence and potential of human factors in improving …

This study addresses flexible job shop scheduling problem (FJSP) with two constraints,
namely fuzzy processing time and new job insertion. The uncertainty of processing time and …

With increasing environmental awareness, energy consumption of industries is becoming a
popular research topic. In industrial manufacturing, processing time is highly uncertain. This …